from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type #Keep this format for the description / args / args description but feel free to modify the tool """A tool that does nothing yet Args: arg1: the first argument arg2: the second argument """ return "What magic will you build ?" @tool def get_current_time_in_timezone(timezone: str) -> str: """A tool that fetches the current local time in a specified timezone. Args: timezone: A string representing a valid timezone (e.g., 'America/New_York'). """ try: # Create timezone object tz = pytz.timezone(timezone) # Get current time in that timezone local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S") return f"The current local time in {timezone} is: {local_time}" except Exception as e: return f"Error fetching time for timezone '{timezone}': {str(e)}" @tool def get_weather_forecast(city_name): """A tool that fetches the current weather of a specified city. Args: city: A string representing a valid city (e.g., 'Bangalore'). """ latitude, longitude = get_coordinates_no_api_key(city_name) base_url = "https://api.open-meteo.com/v1/forecast" # No API key needed for this version params = { "latitude": latitude, "longitude": longitude, "hourly": "temperature_2m,precipitation,wind_speed", "daily": "temperature_2m_max,temperature_2m_min,precipitation_sum", "forecast_days": 7, "timezone": "auto" } try: response = requests.get(base_url, params=params) # No headers needed response.raise_for_status() weather_data = response.json() return weather_data except requests.exceptions.RequestException as e: print(f"Error fetching weather data: {e}") return None except json.JSONDecodeError as e: print(f"Error decoding JSON response: {e}") return None def get_coordinates_no_api_key(city_name): """Gets coordinates using OpenStreetMap's Nominatim (no API key, but with limitations).""" # This approach is less reliable and might have rate limits. # It's suitable for basic use cases but not for production. geocoding_url = "https://nominatim.openstreetmap.org/search" # No API Key needed params = { "q": city_name, "format": "json", "limit": 1 } try: response = requests.get(geocoding_url, params=params) response.raise_for_status() geocoding_data = response.json() if geocoding_data: # Check if any results were found latitude = float(geocoding_data[0]["lat"]) longitude = float(geocoding_data[0]["lon"]) return latitude, longitude else: print(f"Could not find coordinates for {city_name}") return None, None except requests.exceptions.RequestException as e: print(f"Error during geocoding: {e}") return None, None except (KeyError, IndexError, ValueError) as e: # Handle more potential errors print(f"Error parsing geocoding response: {e}") return None, None def get_weather(city: str) -> str: """A tool that fetches the current weather of a specified city. Args: city: A string representing a valid city (e.g., 'Bangalore'). """ try: response = requests.get('https://api.open-meteo.com/v1/forecast?latitude=52.52&longitude=13.41&hourly=temperature_2m&models=bom_access_global') weatherJSON = response.json() cityName = weatherJSON.get('location').get('name') cityTemp = weatherJSON.get('current').get('temp_c') cityCondition = weatherJSON.get('current').get('condition').get('text') return f"The current Temperature in {cityName} is {cityTemp} and conditions are {cityCondition}" except Exception as e: return f"Error fetching weather conditions for {city}" final_answer = FinalAnswerTool() # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder: # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded custom_role_conversions=None, ) # Import tool from Hub image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) with open("prompts.yaml", 'r') as stream: prompt_templates = yaml.safe_load(stream) agent = CodeAgent( model=model, tools=[final_answer], ## add your tools here (don't remove final answer) max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()